Significance testing

Know which differences are real

Layer statistical significance onto your crosstabs. Chi-square and z-tests, presented with the market-research-style column letters analysts expect, so you can defend every callout.

Available onProfessional & up· Significance testing is available on Professional and up.

How it works in Surveti

Chi-square & z-tests

Test whether the differences between segments are statistically significant using chi-square across a table and z-tests between columns.

Column-letter notation

Significant differences are marked with the letter-based notation used in professional market-research tables, so a reader sees at a glance which column beats which.

On your crosstabs

Significance overlays directly on the crosstabs you already built — no separate export or stats package required to flag the meaningful gaps.

What teams use it for

  • Defend a “segment A is higher than B” claim
  • Flag which movers in a tracker are real
  • Produce banner tables a research buyer trusts

Frequently asked questions

Which tests are supported?

Chi-square for overall table association and z-tests for comparing column proportions, shown with the column-letter notation standard in market-research crosstabs.

What are the column letters?

Each banner column gets a letter; when one column is significantly higher than another, the winning cell carries the loser’s letter — the convention analysts use to read significance quickly.

What plan includes it?

Significance testing is available on Professional and up, layered onto the crosstabs available from Solo.

Put significance testing to work on your next study.

Start free — no credit card. Everything you need to field and analyze a study in one platform.